Staff Backend Engineer, Platform

Zeit AI, Inc.; München; Hybrid; EUR 110.000 - 170.000; Vollzeit

Zusammenfassung

ZeitMind, an autonomous data engineer platform, is seeking a senior/principal engineer to own and scale the data platform in a fast-growing environment in Munich. You will work hands-on writing production TS code, optimizing PostgreSQL, and shaping multi-tenant architecture for enterprise customers.

You will lead the sandbox environment with Docker, ensure connectivity to client networks, and drive foundational decisions to support rapid growth. English required; German a plus.

Qualifikationen

• Deep PostgreSQL knowledge: query plans, locking, I/O, caching, replication, sharding.
• Strong TypeScript skills and production-grade code experience.
• Experience building multi-tenant data platforms for B2B startups or platform companies.
• Ability to move fast with ownership without specs; pragmatic over perfect.
• Comfort with distributed systems and infrastructure concerns.

Aufgaben

• Scale a multi-tenant PostgreSQL under unpredictable load: optimize queries, I/O, separation of read/write, horizontal scaling.
• Make agent-driven workloads survivable: support many concurrent table syncs and long-running queries.
• Manage the sandbox layer: Docker containers where agents run queries with compute/memory budgets.
• Own connectivity into customer networks: SOCKS5 over WebSockets, authentication, routing.
• Scope the architecture and build it end-to-end.

Kenntnisse

PostgreSQL expertise

TypeScript

Multi-tenant architecture

SQL performance tuning

Distributed systems

Tools

Docker

Jobbeschreibung

Opportunity

• ZeitMind is an autonomous data engineer for mid-market businesses. Agents and people work the same company data: ingest, pipeline, clean, analyse, build operational apps

• we are growing fast and will be onboarding multiple enterprise customers a week. The backend isn't ready yet, your impact will decide the speed at which we can grow

• load growth is compounding: more customers, multiple users per customer, many agent interactions per user and multiple agent artifacts (data pipelines, schedules, analyses) coming out of the interactions

• you own the platform

What you'll do

• scale a multi-tenant Postgres under unpredictable load: query and I/O optimisation, read/write separation, horizontal scaling

• make agent-driven workloads survivable: one user can spin up 30 table syncs, some running hours, while others query large sources

• manage the sandbox layer: Docker containers where agents run queries and reverse-engineer files, with compute and memory budgets

• own connectivity into customer networks: SOCKS5 over WebSockets, authentication, routing

• scope the architecture and build it

What we're looking for

• staff or principal level, still hands-on, writing production code

• built and scaled multi-tenant data platforms in a B2B startup or platform company before

• deep Postgres or database knowledge: query plans, locking, I/O, caching, replication, sharding

• understands startup pace and ownership without specs

• pragmatic over ideal, wants to build foundations right without overengineering

• strong TypeScript

• English C1, German a plus

Nice to have

• experience at a data platform or warehouse company (Snowflake, Databricks, Cloudflare or similar)

• networking depth: proxies, VPN, routing

Location

• preferred: Munich, on-site. We support relocation within Europe

• already in London? We can make that work. We have people here and are opening a small office, and we'd expect regular Munich travel. In-person culture is important to us

Tech stack

• TypeScript end to end. Bun, tRPC, Postgres, Supabase. React frontend (Mantine, TanStack Query). Docker, job/process management, VPN/routing, agentic frameworks